Автор: de Vet Название: Measurement in Medicine ISBN: 0521118204 ISBN-13(EAN): 9780521118200 Издательство: Cambridge Academ Рейтинг: Цена: 15365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Measurement instruments are essential in medicine to assess the severity of diseases, monitor health status or evaluate the effects of interventions. Learn how to improve these measurements with this book, which provides handholds for the development and evaluation of measurement instruments in all clinical disciplines.
Автор: Hand, David J. Название: Measurement: A Very Short Introduction ISBN: 0198779569 ISBN-13(EAN): 9780198779568 Издательство: Oxford Academ Рейтинг: Цена: 1582.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Very Short Introduction explores the concept of measurement, its mathematical underpinnings, and its wide range of application from the sciences and social sciences to economics and commerce.
Автор: Stainer Название: Health Measurement Scales. 2004 ISBN: 0198528477 ISBN-13(EAN): 9780198528470 Издательство: Oxford Academ Цена: 4198.00 р. Наличие на складе: Поставка под заказ.
Описание: Gives details on cognitive requirements in answering questions, and how the influences scale development. This book synthesizes the theory of scale construction with practical advice, culled from the literature and the authors` experience, about how to develop and validate measurement scales to be used in the health sciences.
Описание: Addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. This book explores both measurement error in continuous variables and misclassification in categorical variables. It is suitable for biostatisticians, epidemiologists, and students.
Описание: Inference Framework and Method.- Measurement Error and Misclassification: Introduction.- Survival Data with Measurement Error.- Recurrent Event Data with Measurement Error.- Longitudinal Data with Covariate Measurement Error.- Multi-State Models with Error-Prone Data.- Case-Control Studies with Measurement Error or Misclassification.- Analysis with Error in Responses.- Miscellaneous Topics.- Appendix.- References.
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